A Robust Wireless Sensor Network for Landslide Risk Analysis: System Design, Deployment, and Field Testing

Giorgetti, Andrea; Lucchi, Matteo; Tavelli, Emanuele; Barla, Marco; Gigli, Giovanni; Casagli, Nicola; Chiani, Marco; Dardari, Davide

doi:10.1109/jsen.2016.2579263

Cited by 75 publications

(35 citation statements)

References 48 publications

(34 reference statements)

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“…For landslide detection, sensors such as extensometers, clinometers, soil hygrometers, and bar extensometers are also employed [4].…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated Earthquake and Landslide Monitoring Over Wireless Sensor Network

ThNanao*,

Laishram

2019

IJRTE

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Abstract:Natural disasters have mercilessly devastated our lives in so many different terms. The impact of Earthquake and landslides are very severe because of their unpredictability. To alleviate the problem early warning system plays an important role. In this paper, we proposed an integrated earthquake and landslide monitoring system overthewireless sensor network. The Wireless Sensor Network is programmed to acquire the data, which is monitored and controlled centrally or independently and can be distributed widely in a random or planned deployment. By detecting suspicious indications such as tremor or landslides through sensor nodes, the system provides information to the monitoring and warning station. The processing unit is composed of arduino and Sensors such as 4.5 Flex Sensor, Capacitive Soil Moisture Sensor and a3-Dimensional Accelerometer are used in the proposed system to monitor landmass displacement/movement, the moisture level of the soil and the vibrations for earthquakes respectively. An RF module, XBee S2C is used which provides wireless communication with a range of about a 1 km line of sight and 60 meters indoor. The real-time data can be accessed via the internet. It will be powered from a 12V 20W solar panel with rechargeable Li-Ion Battery and fitted with necessary protection and charging circuit boards. The proposed system can be used in earthquake and landslide prone area to avoid damages to life and property in the area of operation by providing crucial information and further warning for any disastrous development. The proposed system is implemented through experiments and proved to be effective.

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“…For landslide detection, sensors such as extensometers, clinometers, soil hygrometers, and bar extensometers are also employed [4].…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated Earthquake and Landslide Monitoring Over Wireless Sensor Network

ThNanao*,

Laishram

2019

IJRTE

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“…We consider the cases of air quality monitoring at an industrial facility (see section 5.1), and of landslide risk management in Italy [23] (see section 5.2). These two examples have been chosen due to their rich and varied requirements, and especially for the need to retain and re-interrogate data over different timescales.…”

Section: Case Studiesmentioning

confidence: 99%

“…Another interesting scenario is the one presented by Giorgetti et alia [23], which describes a wireless sensor network for the monitoring of landslides. The network, deployed on a rockslide in central Italy, gathered both operational data (e.g., communication statistics) and measurements of natural phenomena (e.g., ground movement) in the time period from February to October 2013.…”

Section: Landslides Risk Managementmentioning

confidence: 99%

“…Specifically, the analyses performed in the study presented by Giorgetti et alia [23] involved the computation of two scores, the fraction of packets sent (FPS) and the packet retransmission rate (PRR). The former is computed as the number of packets sent from node T to node R, divided by the total number of packets sent by R; FPS is thus used to identify which network paths are most (or least) used.…”

Section: Warehousing Landslides Risk Datamentioning

confidence: 99%

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A Reference Architecture and Model for Sensor Data Warehousing

et al. 2018

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Abstract-Sensor data is becoming far more available thanks to the growth in both sensor systems and Internet of Things devices. Much of the value of sensor data comes from examining trends that occur over long timescales, ranging from hours to years. However, making use of data a long time after it has been collected has significant implications for the data-handling systems used to manage it. In particular, the data must be contextualised into the environment in which it was collected to avoid misleading (and potentially dangerous) mis-interpretation. We apply data warehousing techniques to develop an extensible model to capture contextual metadata alongside sensor datasets, and show how this can be used to support the analysis of datasets long after collection. We present our baseline reference framework for sensor context and derive multidimensional schemata representing different modelling and analysis scenarios. Finally, we exercise the model with two case studies.

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“…Therefore, the monitoring and forecasting of landslide hazards is necessary. Through the use of scientific and reasonable monitoring and forecasting tools, we can take precautionary measures to reduce landslide disaster losses to a minimum [2]. There are many methods and means of landslide monitoring at home and abroad.…”

Section: Introductionmentioning

confidence: 99%

Design of Early Warning System Based on Wireless Sensor Network

Gao¹,

Shan²

2018

Int. J. Onl. Eng.

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Abstract-In order to solve the shortcomings of the landslide monitoring technology method, a set of landslides monitoring and early warning system is designed. It can achieve real-time sensor data acquisition, remote transmission and query display. In addition, aiming at the harsh environment of landslide monitoring and the performance requirements of the monitoring system, an improved minimum hop routing protocol is proposed. It can reduce network energy consumption, enhance network robustness, and improve node layout and networking flexibility. In order to realize the remote transmission of data, GPRS wireless communication is used to transmit monitoring data. Combined with remote monitoring center, real-time data display, query, preservation and landslide warning and prediction are realized. The results show that the sensor data acquisition system is accurate, the system is stable, and the node network is flexible. Therefore, the monitoring system has a good use value.

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A Robust Wireless Sensor Network for Landslide Risk Analysis: System Design, Deployment, and Field Testing

Cited by 75 publications

References 48 publications

Integrated Earthquake and Landslide Monitoring Over Wireless Sensor Network

Integrated Earthquake and Landslide Monitoring Over Wireless Sensor Network

A Reference Architecture and Model for Sensor Data Warehousing

Design of Early Warning System Based on Wireless Sensor Network

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